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9 February 2015 Real-time high-resolution downsampling algorithm on many-core processor for spatially scalable video coding
Adamu M. Buhari, Huo-Chong Ling, Vishnu M. Baskaran, KokSheik Wong
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Journal of Electronic Imaging, Vol. 24, Issue 1, 013025 (February 2015). https://doi.org/10.1117/1.JEI.24.1.013025
Abstract
The progression toward spatially scalable video coding (SVC) solutions for ubiquitous endpoint systems introduces challenges to sustain real-time frame rates in downsampling high-resolution videos into multiple layers. In addressing these challenges, we put forward a hardware accelerated downsampling algorithm on a parallel computing platform. First, we investigate the principal architecture of a serial downsampling algorithm in the Joint-Scalable-Video-Model reference software to identify the performance limitations for spatially SVC. Then, a parallel multicore-based downsampling algorithm is studied as a benchmark. Experimental results for this algorithm using an 8-core processor exhibit performance speedup of 5.25 × against the serial algorithm in downsampling a quantum extended graphics array at 1536p video resolution into three lower resolution layers (i.e., Full-HD at 1080p, HD at 720p, and Quarter-HD at 540p). However, the achieved speedup here does not translate into the minimum required frame rate of 15 frames per second (fps) for real-time video processing. To improve the speedup, a many-core based downsampling algorithm using the compute unified device architecture parallel computing platform is proposed. The proposed algorithm increases the performance speedup to 26.14 × against the serial algorithm. Crucially, the proposed algorithm exceeds the target frame rate of 15 fps, which in turn is advantageous to the overall performance of the video encoding process.
© 2015 SPIE and IS&T 1017-9909/2015/$25.00 © 2015 SPIE and IS&T
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Adamu M. Buhari, Huo-Chong Ling, Vishnu M. Baskaran, and KokSheik Wong "Real-time high-resolution downsampling algorithm on many-core processor for spatially scalable video coding," Journal of Electronic Imaging 24(1), 013025 (9 February 2015). https://doi.org/10.1117/1.JEI.24.1.013025
Published: 9 February 2015
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Cited by 6 scholarly publications.
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KEYWORDS
Video
Scalable video coding
Video processing
Video acceleration
Detection and tracking algorithms
Computer programming
Parallel computing
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